MongoDB数据库(二):增删查改

mongodb数据库的增删查改

1.插入数据

语法：

db.集合名称.insert(document)
db.table_name.insert({name:'gj',gender:1})
db.table_name.insert({_id:"20170101",name:'gj',gender:1})

插⼊⽂档时， 如果不指定_id参数，mongodb会为⽂档分配⼀个唯⼀的objectid

使用insert时如果指定的_id在数据表中已经存在，则插入数据失败

例子：

> db.test_table01.insert({_id:1000001,name:"xiaobing",age:30})          # 向数据库中插入一条_id为1000001的数据
writeresult({ "ninserted" : 1 })

> db.test_table01.insert({_id:1000001,name:"xiaoming",age:40})          # 再次向数据库中插入一条_id为1000001的数据，会提示失败
writeresult({
        "ninserted" : 0,
        "writeerror" : {
                "code" : 11000,
                "errmsg" : "e11000 duplicate key error collection: study_test.test_table01 index: _id_ dup key: { : 1000001.0 }"
        }
})

2.保存数据

语法：

db.集合名称.save(document)

如果⽂档的_id已经存在则修改文档，如果⽂档的_id不存在则添加，类似于django中的update_or_create

例子:

> db.test_table01.find()
{ "_id" : objectid("5c939a4f4c9ce97c5b78a0da"), "name" : "xiaowang", "age" : 10 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaohong", "age" : 20 }
{ "_id" : 1000001, "name" : "xiaobing", "age" : 30 }

> db.test_table01.save({_id:1000001,name:"xiaoming",age:40})            # 向数据库中保存_id为1000001的数据，会更新已经的数据
writeresult({ "nmatched" : 1, "nupserted" : 0, "nmodified" : 1 })

> db.test_table01.find()
{ "_id" : objectid("5c939a4f4c9ce97c5b78a0da"), "name" : "xiaowang", "age" : 10 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaohong", "age" : 20 }
{ "_id" : 1000001, "name" : "xiaoming", "age" : 40 }

3.简单查询

语法：

db.集合名称.find({条件⽂档})                # 查询所有符合条件的文档
db.集合名称.findone({条件⽂档})             # 根据条件查询文档，只返回第⼀个
db.集合名称.find({条件⽂档}).pretty()       # 根据条件查询文档，并将输出结果格式化

4.更新

语法：

db.集合名称.update(<query> ,<update>,{multi: <boolean>})
参数说明：
    query:查询条件
    update:更新操作符
    multi:可选，默认是false，表示只更新找到的第⼀条记录，值为true表示把满⾜query条件的⽂档全部更新

"multi update only works with $ operators":只有替换后的字段前面加上"$"时，才可以一次性更新多条数据

例子:

> db.userinfo.find().pretty()                                   # userinfo数据库里有5条数据
{
        "_id" : objectid("5c94f37d25000fc9936a9759"),
        "country" : "china",
        "province" : "sh",
        "userid" : "a"
}
{
        "_id" : objectid("5c94f38425000fc9936a975a"),
        "country" : "china",
        "province" : "sh",
        "userid" : "b"
}
{
        "_id" : objectid("5c94f38625000fc9936a975b"),
        "country" : "china",
        "province" : "sh",
        "userid" : "c"
}
{
        "_id" : objectid("5c94f39325000fc9936a975c"),
        "country" : "china",
        "province" : "bj",
        "userid" : "da"
}
{
        "_id" : objectid("5c94f39925000fc9936a975d"),
        "country" : "china",
        "province" : "bj",
        "userid" : "fa"
}
> db.userinfo.update({country:"china"},{set:{country:"zhongguo"}})      # 把country等于china的整条数据替换掉，只替换一条数据
writeresult({ "nmatched" : 1, "nupserted" : 0, "nmodified" : 1 })

> db.userinfo.find()                    # 第一条数据被替换，只有_id字段没有改变
{ "_id" : objectid("5c94f37d25000fc9936a9759"), "set" : { "country" : "zhongguo" } }
{ "_id" : objectid("5c94f38425000fc9936a975a"), "country" : "china", "province" : "sh", "userid" : "b" }
{ "_id" : objectid("5c94f38625000fc9936a975b"), "country" : "china", "province" : "sh", "userid" : "c" }
{ "_id" : objectid("5c94f39325000fc9936a975c"), "country" : "china", "province" : "bj", "userid" : "da" }
{ "_id" : objectid("5c94f39925000fc9936a975d"), "country" : "china", "province" : "bj", "userid" : "fa" }

> db.userinfo.update({country:"china"},{$set:{country:"zhongguo"}})     # 把country等于china的字段更新为country等于zhongguo,只更新一条数据
writeresult({ "nmatched" : 1, "nupserted" : 0, "nmodified" : 1 })

> db.userinfo.find()
{ "_id" : objectid("5c94f37d25000fc9936a9759"), "set" : { "country" : "zhongguo" } }
{ "_id" : objectid("5c94f38425000fc9936a975a"), "country" : "zhongguo", "province" : "sh", "userid" : "b" }
{ "_id" : objectid("5c94f38625000fc9936a975b"), "country" : "china", "province" : "sh", "userid" : "c" }
{ "_id" : objectid("5c94f39325000fc9936a975c"), "country" : "china", "province" : "bj", "userid" : "da" }
{ "_id" : objectid("5c94f39925000fc9936a975d"), "country" : "china", "province" : "bj", "userid" : "fa" }

> db.userinfo.update({country:"china"},{$set:{country:"zhongguo"}},{multi:true})    # 把country等于china的字段更新为country等于zhongguo,multi的值为true,所以更新所有符合条件的数据
writeresult({ "nmatched" : 3, "nupserted" : 0, "nmodified" : 3 })

> db.userinfo.find()
{ "_id" : objectid("5c94f37d25000fc9936a9759"), "set" : { "country" : "zhongguo" } }
{ "_id" : objectid("5c94f38425000fc9936a975a"), "country" : "zhongguo", "province" : "sh", "userid" : "b" }
{ "_id" : objectid("5c94f38625000fc9936a975b"), "country" : "zhongguo", "province" : "sh", "userid" : "c" }
{ "_id" : objectid("5c94f39325000fc9936a975c"), "country" : "zhongguo", "province" : "bj", "userid" : "da" }
{ "_id" : objectid("5c94f39925000fc9936a975d"), "country" : "zhongguo", "province" : "bj", "userid" : "fa" }

> db.userinfo.update({country:"zhongguo"},{set:{country:"zh_cn"}},{multi:true})     # multi的值为true,但是set前没有加"$",所以此次更新操作没有更新数据
writeresult({
        "nmatched" : 0,
        "nupserted" : 0,
        "nmodified" : 0,
        "writeerror" : {
                "code" : 9,
                "errmsg" : "multi update only works with $ operators"
        }
})

> db.userinfo.update({country:"zhongguo"},{$set:{country:"zh_cn"}},{multi:true})    # multi的值为true,set前加了"$",所以把所有文档的country字段更新为"zh_cn"
writeresult({ "nmatched" : 4, "nupserted" : 0, "nmodified" : 4 })

> db.userinfo.find()
{ "_id" : objectid("5c94f37d25000fc9936a9759"), "set" : { "country" : "zhongguo" } }
{ "_id" : objectid("5c94f38425000fc9936a975a"), "country" : "zh_cn", "province" : "sh", "userid" : "b" }
{ "_id" : objectid("5c94f38625000fc9936a975b"), "country" : "zh_cn", "province" : "sh", "userid" : "c" }
{ "_id" : objectid("5c94f39325000fc9936a975c"), "country" : "zh_cn", "province" : "bj", "userid" : "da" }
{ "_id" : objectid("5c94f39925000fc9936a975d"), "country" : "zh_cn", "province" : "bj", "userid" : "fa" }

5.删除文档

语法：

db.集合名称.remove(<query>,{justone: <boolean>})
参数说明：
    query:可选，删除⽂档的条件
    justone:可选， 如果设为true或1， 则只删除⼀条， 默认false， 表示删除多条

例子:

> db.test_table01.find()
{ "_id" : objectid("5c939a4f4c9ce97c5b78a0da"), "name" : "xiaoqiang", "age" : 10 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : 1000001, "name" : "xiaobei" }
{ "_id" : objectid("5c939dd14c9ce97c5b78a0dc"), "name" : "xiaoqiang", "age" : 20 }
{ "_id" : objectid("5c939dd44c9ce97c5b78a0dd"), "name" : "xiaoqiang", "age" : 30 }
{ "_id" : objectid("5c939dd74c9ce97c5b78a0de"), "name" : "xiaoqiang", "age" : 40 }

> db.test_table01.remove({name:"xiaobei"})          # 删除所有name为xiaobei的数据
writeresult({ "nremoved" : 1 })     

> db.test_table01.find()
{ "_id" : objectid("5c939a4f4c9ce97c5b78a0da"), "name" : "xiaoqiang", "age" : 10 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c939dd14c9ce97c5b78a0dc"), "name" : "xiaoqiang", "age" : 20 }
{ "_id" : objectid("5c939dd44c9ce97c5b78a0dd"), "name" : "xiaoqiang", "age" : 30 }
{ "_id" : objectid("5c939dd74c9ce97c5b78a0de"), "name" : "xiaoqiang", "age" : 40 }

> db.test_table01.remove({name:"xiaoqiang"},{justone:true})     # 删除一条name等于xiaoqiang的数据
writeresult({ "nremoved" : 1 })

> db.test_table01.find()
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c939dd14c9ce97c5b78a0dc"), "name" : "xiaoqiang", "age" : 20 }
{ "_id" : objectid("5c939dd44c9ce97c5b78a0dd"), "name" : "xiaoqiang", "age" : 30 }
{ "_id" : objectid("5c939dd74c9ce97c5b78a0de"), "name" : "xiaoqiang", "age" : 40 }

> db.test_table01.remove({name:"xiaoqiang"})         # 删除所有name等于xiaoqiang的数据,共删除了3条数据
writeresult({ "nremoved" : 3 })

> db.test_table01.find()
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }

6.⽐较运算符查询

mongodb数据库中的⽐较运算符有：

=                   等于,默认是等于判断,没有运算符
$lt                 ⼩于
$lte                ⼩于等于
$gt                 ⼤于
$gte                ⼤于等于
$ne                 不等于

例子:

> db.test_table01.insert({name:"乔峰",hometown:"丐帮",gender:"male",age:32})            # 向数据表中插入四条数据
writeresult({ "ninserted" : 1 })
> db.test_table01.insert({name:"段誉",hometown:"云南大理",gender:"male",age:22})
writeresult({ "ninserted" : 1 })
> db.test_table01.insert({name:"虚竹",hometown:"少林寺",gender:"male",age:28})
writeresult({ "ninserted" : 1 })
> db.test_table01.insert({name:"王语嫣",hometown:"燕子坞",gender:"female",age:18})
writeresult({ "ninserted" : 1 })

> db.test_table01.find()
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }

> db.test_table01.find({age:{$lt:20}})                  # 查找年龄小于20岁的所有数据
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }

> db.test_table01.find({age:{$lte:25}})                 # 查找年龄小于等于25岁的所有数据
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }

> db.test_table01.find({age:{$gt:20}})                  # 查找年龄大于20岁的所有数据
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

> db.test_table01.find({age:{$gte:30}})                 # 查找年龄大于等于30岁的所有数据
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }

> db.test_table01.find({age:{$ne:18}})                  # 查找年龄不等于18岁的所有数据
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

7.逻辑运算符查询

语法：

and         条件与，多个条件共同查询
or          条件或，符合一个条件与可

例子:

> db.test_table01.find({age:22,gender:"male"})                      # 查找所有年龄为22，性别为男的人
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }

> db.test_table01.find({age:{$gt:20},gender:"male"})                # 查找所有年龄大于20，性别为男的人
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

> db.test_table01.find({$or:[{age:{$gt:20},gender:"male"}]})        # 查找所有年龄大于20或者性别为男的人
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

> db.test_table01.find({$or:[{age:{$gte:20},gender:"male"}]})       # 查找所有年龄大于等于20或者性别为男的人
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

8.范围运算符查询

语法：

$in             在范围之内
$nin            不在范围之内

例子:

> db.test_table01.find({age:{$in:[18,28,38]}})          # 查找年龄为18或者28或者38的人
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }

> db.test_table01.find({age:{$nin:[18,28,38]}})         # 查找年龄不等于18或者28或者38的人
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }

9.正则表达式语句查询

语法：

//              后接正则表达式进行查询
$regex          后接正则表达式进行查询

例子:

> db.test_table01.find({name:{$regex:'^王'}})           # 查找姓王的所有人
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }

10.limit和skip

limit()             ⽤于读取指定数量的⽂档
skip()              ⽤于跳过指定数量的⽂档

语法：

db.集合名称.find({条件⽂档}).skip(number)               # 按条件查询，跳过number条数据
db.集合名称.find({条件⽂档}).limit(number)              # 按条件查询，取前number条数据
db.集合名称.find({条件⽂档}).limit(10).skip(5)          # 按条件查询后，取第6到第10条数据
db.集合名称.find({条件⽂档}).skip(5).limit(4)           # 按条件查询后，取第6条到和9条数据

例子:

> db.test_table01.find({gender:"male"})                 # 查询所有的男性
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

> db.test_table01.find({gender:"male"}).limit(2)        # 查询所有的男性，取前两条数据
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }

> db.test_table01.find({gender:"male"}).skip(2)         # 查询所有的男性，跳过前2条数据
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }

11.投影

语法：

db.集合名称.find({},{字段名称:1,...})           # 查询结果，只选择必要的字段
参数为字段与值，值为1表示显示，值为0不显

对于_id列默认是显示的， 如果不显示需要明确设置为0

例子:

> db.test_table01.find({gender:"male"},{name:1,hometown:1})         # 查询所有的男性，显示_id，name和hometown
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮" }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理" }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺" }

> db.test_table01.find({gender:"male"},{name:1})                    # 查询所有男性，显示name和_id字段
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰" }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉" }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹" }

> db.test_table01.find({gender:"male"},{hometown:1})                # 查询所有男性，显示_id和hometown字段
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "hometown" : "丐帮" }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "hometown" : "云南大理" }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "hometown" : "少林寺" }

> db.test_table01.find({gender:"male"},{hometown:1,_id:0})          # 查询所有男性，显示hometown，不显示_id字段
{ "hometown" : "丐帮" }
{ "hometown" : "云南大理" }
{ "hometown" : "少林寺" }

> db.test_table01.find({},{name:1,age:1})                           # 查询所有男性，显示_id和name，age字段
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "age" : 28 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "age" : 18 }

> db.test_table01.find({},{name:1,age:1,_id:0})                     # 查询所有男性，显示name，age字段
{ "name" : "xiaozhao", "age" : 20 }
{ "name" : "乔峰", "age" : 32 }
{ "name" : "段誉", "age" : 22 }
{ "name" : "虚竹", "age" : 28 } 
{ "name" : "王语嫣", "age" : 18 }

12.排序

sort()          对查询结果进⾏排序

语法：

db.集合名称.find().sort({字段:1,...})
    参数1为升序排列
    参数-1为降序排列

例子:

> db.test_table01.find().sort({age:1})                              # 查询所有数据，按age字段升序排列
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }

> db.test_table01.find().sort({age:-1})                             # 查询所有数据，按age字段降序排列
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }

> db.test_table01.find().sort({name:-1})                            # 查询所有数据，按name字段降序排列
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }

> db.test_table01.find().sort({hometown:1})                         # 查询所有数据，按hometown字段升序排列
{ "_id" : objectid("5c939adc4c9ce97c5b78a0db"), "name" : "xiaozhao", "age" : 20 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }
{ "_id" : objectid("5c93a1e74c9ce97c5b78a0e4"), "name" : "段誉", "hometown" : "云南大理", "gender" : "male", "age" : 22 }
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1fd4c9ce97c5b78a0e6"), "name" : "王语嫣", "hometown" : "燕子坞", "gender" : "female", "age" : 18 }
> db.test_table01.find({age:{$gt:25}}).sort({age:1})                # 查询age大于25的所有数据，按age字段升序排列
{ "_id" : objectid("5c93a1f14c9ce97c5b78a0e5"), "name" : "虚竹", "hometown" : "少林寺", "gender" : "male", "age" : 28 }
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }

13.统计个数

count()                 统计结果集中⽂档条数

语法：

db.集合名称.find({查询条件}).count()
db.集合名称.count({查询条件})

例子:

> db.test_table01.find({}).count()                      # 查询所有数据的数量
5       
> db.test_table01.find({age:{$gt:25}}).count()          # 查询age大于25的所有数据的总数
2
> db.test_table01.find({gender:"male"}).count()         # 查询gender等于male的所有数据的总数
3

14.去重

distinct()              对数据进⾏去重

语法：

db.集合名称.distinct('去重字段',{条件})

例子:

> db.test_table01.distinct("gender")                        # 对gemder字段进行去重
[ "male", "female" ]

> db.test_table01.distinct("gender",{age:{$gt:20}})         # 对age大于20的所有数据的gender字段信息进行去重
[ "male" ]

> db.test_table01.distinct("age")                           # 对所有数据的age字段进行去重
[ 20, 32, 22, 28, 18 ]

> db.test_table01.distinct("name")                          # 对所有数据的name字段进行去重
[ "xiaozhao", "乔峰", "段誉", "虚竹", "王语嫣" ]

15.⾃定义查询

语法：

使⽤$where后⾯写⼀个函数， 返回满⾜条件的数据

例子:

> db.test_table01.find({$where:function(){return this.age > 30}})       # 查询age大于30的所有数据
{ "_id" : objectid("5c93a1d64c9ce97c5b78a0e3"), "name" : "乔峰", "hometown" : "丐帮", "gender" : "male", "age" : 32 }